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AI = Awesome Intelligence

Building AI is building role based workers that do work for you. Lazy/weak instructions create weak, sloppy workers, and so goes AI output.

It also costs extra credits. When I started using Claude, it was all Opus. Lately, I've been using a combination of Haiku and Sonnet to achieve the same results. When I need a little more oomph, I use Opus 4.6. At some point I'll give Opus 4.8 a try because it is the latest, but I'm getting so much done on Sonnet and never hitting a limit wall.
 
Just tried something interesting with AI for dealership SEO and lead generation.


We built a system inside Dealersip that automatically helps dealerships create SEO-focused inventory and marketing content instead of just uploading vehicle photos and waiting for leads.

A few things it can now do:

• Generate vehicle descriptions optimized for Google search
• Create localized landing pages for searches like “Used Honda Civic in Brampton”
• Generate social media posts automatically from inventory
• Reply to Google reviews using AI
• Detect repeat visitors on vehicle pages and help trigger targeted offers
• Track dealership website engagement in real time
• Help dealerships build long-term brand visibility instead of relying only on paid ads

What surprised me most is that SEO in automotive is no longer just “ranking pages.” AI is making it possible to build thousands of highly relevant micro-pages and customer touchpoints that match buyer intent much more accurately.

Most dealership websites still behave like digital brochures. AI changes that completely.

If anyone else here is experimenting with AI for dealership operations, SEO, inventory marketing, or lead conversion, I’d genuinely love to hear what you’re building too.

Dealersip | AI-Powered Software for Auto Dealerships
 
That's the kind of use case people underestimate.

Most productivity tools help you collect information. AI helps you make decisions about it.

I had a similar experience while building and refining DealerPulse. Between AI voice agents, dealership workflows, CRM integrations, SEO research, call routing systems, and competitive analysis, browser tabs multiply fast. What would normally take an entire day of sorting can be reduced to a few focused hours when AI helps identify what's worth keeping, what's outdated, and what requires action.

The real value isn't organizing 100 tabs. It's recovering the context behind those 100 tabs without having to revisit each one manually.
 
AI has fantastic use cases but anyone telling you that you can just launch an agent or a bot to run your sales team or your business, call your customers, or get rid of half your team (especially in our industry) is lying to you. Human assisted increase on throughput of mundane tasks (call analysis), writing (still needs strong human edits, especially on the sales follow up side), and data analysis (finding patterns or needles in the haystack). Most customers say they hate dealing with AI and anything obviously AI is off putting. Use AI to strengthen your foundation and the basics, save time. Maybe it will get there one day but right now it's simply not a 'hand it over to ai' situation for car dealers.
 
AI has fantastic use cases but anyone telling you that you can just launch an agent or a bot to run your sales team or your business, call your customers, or get rid of half your team (especially in our industry) is lying to you. Human assisted increase on throughput of mundane tasks (call analysis), writing (still needs strong human edits, especially on the sales follow up side), and data analysis (finding patterns or needles in the haystack). Most customers say they hate dealing with AI and anything obviously AI is off putting. Use AI to strengthen your foundation and the basics, save time. Maybe it will get there one day but right now it's simply not a 'hand it over to ai' situation for car dealers.
Agreed.

I have been DEEEEEEEEEP into building with AI. DealerRefresh is a testament to that, but it goes beyond. AI is getting easier to use... AKA, better at figuring out what dumb humans are saying.

You still need to appreciate the AI system's logic and understand the data it works with. It takes a couple of massive projects to help put it all in perspective. And when I mean massive, I'm not talking about building a cool report. I'm referring to an entire piece of software. Start using something like Claude Code. It isn't really coding :sssh:

If you want to get into it deeply, there are two projects that can help you learn without too much risk.
  1. Build yourself an operating system on your own computer. Look up videos on AgenticOS to see what I'm talking about. If you want some ideas, I'm happy to help. It can be insanely helpful to your daily life. You're essentially making a program that does whatever you want it to.
  2. Or build an offline AI inside an old computer you don't use anymore. You could make it a personal system that runs some things around your house. Also, very helpful.

Either of those projects will force you to get more intimate with AI and start to understand the differences between memory, agents, tokens, and how to prompt it. Once that makes sense to you, there is no limit to what you can make.
 

✨ AI Highlights

  • Claude and Gemini replaced ChatGPT for coding, planning, and research tasks
  • AI avatars with cloned voices fooled real people including spouses
  • Dealers built agents to stock inventory and find auction vehicles autonomously

This thread is an enthusiastic, wide-ranging showcase of real-world AI wins shared by dealers, vendors, and automotive tech professionals, covering everything from tab management and VDP copywriting to custom agentic operating systems and AI avatars. The strongest consensus is that AI is genuinely transforming productivity and creative output for small teams, with Claude emerging as the preferred workhorse for complex, multi-step tasks while Gemini and Perplexity fill supporting roles. The only meaningful tension surfaces around AI reliability at scale — one contributor's frustration with shallow audits and another's concern that consumer-facing AI tools may quietly reduce effort to cut costs — but even skeptics remain enthusiastic overall. Worth a read if you want concrete use cases and tool recommendations, or if you're curious how early adopters in your space are building AI-native workflows right now.

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